Face-based machine learning diagnostics: applications, challenges and opportunities DOI Creative Commons
Jie Song, Mengqiao He, Xin Zheng

et al.

Artificial Intelligence Review, Journal Year: 2025, Volume and Issue: 58(8)

Published: May 13, 2025

Language: Английский

Assessing Internal Consistency of the Autism Spectrum Disorder Gastrointestinal and Related Behaviors Inventory and the Frequency and Socio‐Emotional Correlates of Gastrointestinal Difficulties in Children With the Autism Spectrum Disorder: A Cross‐Sectional Study DOI Open Access
Sanja Leštarević, Marija Mihailovich, Milica Vlaisavljevic

et al.

Autism Research, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 19, 2025

ABSTRACT Gastrointestinal (GI) difficulties are common in children diagnosed with autism spectrum disorder (ASD). However, these can frequently remain unrecognized. Therefore, we aimed to translate a newly developed instrument, The Autism Spectrum Disorder and Related Behaviors Inventory Children (ASD‐GIRBI), assess its reliability explore the frequency of various gastrointestinal related behaviors, as well association GI measures social functioning emotional behavioral ASD. A total 98 adolescents (aged 4–18 [ M age = 10.67 ± 3.705], 82.7% male), previously ASD at Institute Mental Health Belgrade, Serbia, took part this research. Their parents filled out following questionnaires: ASD‐GIRBI (an assessment symptoms), Stanford Social Dimensions Scale (SSDS) (a measure functioning) Strengths Difficulties Questionnaire (SDQ) problems). Our results indicate that is reliable instrument for (Cronbach's α 0.841) score successfully discriminating between participants without diagnosis ( p 0.040). Any symptom was present 54.1% participants, most commonly flatulence, diarrhea, constipation. severity correlated problems r 0.261, < 0.01), conduct 0.219, 0.05), hyperactivity 0.381, peer 0.266, 0.454, 0.01) impact 0.321, 0.01). data emphasize potential importance areas individuals

Language: Английский

Citations

0

Face-based machine learning diagnostics: applications, challenges and opportunities DOI Creative Commons
Jie Song, Mengqiao He, Xin Zheng

et al.

Artificial Intelligence Review, Journal Year: 2025, Volume and Issue: 58(8)

Published: May 13, 2025

Language: Английский

Citations

0